What an agent is
Software that does the work, not a chat
AI Agents for Business, Ready for Production
An AI agent is not a chat that answers questions. It is software that performs tasks inside your operation, with access to your systems and with defined limits. Hábito 1 designs them, connects them and puts them to work.
AI agents for business, not lab demos
AI agents for business are measured by work finished, not by how well they converse. Before building one we define what task it does, which systems it reaches and when it has to ask a person for help.
Defined scope and limits
Each agent has one task, narrow permissions and a clear point where it hands off to a person.
Access to your systems
The agent reads and writes in your ERP, CRM or database by API. No copy and paste.
Verifiable answers
The agent cites where it got the data, so what it did and why can be audited.
What an agent solves in a real operation
The cases that work are the ones burning hours of skilled people on mechanical tasks: reading, classifying, finding the data and entering it where it belongs.
Support with context
The agent answers from your documentation and the customer's history, and escalates what is not its call.
Search across your docs
Your team asks in plain language and gets the answer with the source to go to.
Data classification and entry
Emails, forms and PDFs come in, get classified and land in the right system.
Models and integration: which one fits each case?
There is no single best model for everything. We integrate different language models, ChatGPT, Claude and others, and the choice depends on the task, the cost per query and where your data has to live.
Many models, one integration
We work with ChatGPT, Claude and other models. The model can change without rebuilding the system.
The task picks the model
A simple classification does not need the most expensive model. Cost per query counts too.
Your data, under control
We define what information leaves your infrastructure and what is processed in house.
Implementation: from test to production
An agent that runs well in a demo can fail on case 40. We start with a narrow process, measure on real cases and only then give it volume.
Pilot on a narrow process
We pick a flow with volume and low risk, so results are measurable and quick.
Measured from day one
We define what to watch before starting: time per case, accuracy and how much goes to a person.
Tuning and rollout
With the pilot data we tune the agent and open it to the rest of the operation.